Daniel Baumann, M.Sc.

Daniel Baumann, M.Sc.

  • Engesserstr. 5

    76131 Karlsruhe

M. Sc. Daniel Baumann

Curriculum Vitae

  • Research associate at ITIV since March 2020
  • Master studies in electrical engineering and information technology with specialization in electromobility at KIT
    • Graduation in December 2019
    • Master thesis (ITIV): "Design and implementation of a reinforcement learning algorithm for the generation of test scenarios for highly automated driving"
  • Bachelor studies in electrical engineering and information technology at KIT.
    • Graduated in March 2017
    • Bachelor thesis (LTI): "Improvement of the thermal stability of organic solar cells using the crosslinker SP07".

Teaching

HiWi positions
Titel

Publications


2024
Book Chapters
Process for the Identification of Vehicle Functions for Cloud Offloading
Sommer, M.; Baumann, D.; Rösch, T.; Dettinger, F.; Sax, E.; Weyrich, M.
2024. Intelligent Computing : Proceedings of the 2024 Computing Conference, Volume 2, 596–608, Springer Nature Switzerland. doi:10.1007/978-3-031-62277-9_38
Conference Papers
Total Cost of Ownership: Cloud-based vs. Onboard Vehicle Software Components
Baumann, D.; Sommer, M.; Sax, E.; Dettinger, F.; Weyrich, M.
2024. The 1st International Conference on Systems Scalability and Expandability, 6 S., International Academy, Research, and Industry Association (IARIA)
Influential Factors on Drivetrain Consumption in Electric City Buses and Assessing the Optimization Potentials
Raghuraman, S.; Baumann, D.; Schindewolf, M.; Sax, E.
2024. Proceedings of the 13th International Conference on Data Science, Technology and Applications- Volume 1, Dijon, 9th-11th July 2024, 330–337, SciTePress. doi:10.5220/0012758700003756
Connected Vehicle: Ontology, Taxonomy and Use Cases
Baumann, D.; Sommer, M.; Dettinger, F.; Rösch, T.; Weyrich, M.; Sax, E.
2024. 2024 IEEE International Systems Conference (SysCon), Montreal, 15th - 18th April 2024, 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SysCon61195.2024.10553586
2023
Conference Papers
Introducing L-Shaping for a Streamlined Lidar-Based Perception in Urban Platooning
Baumann, D.; Kraus, D.; Kechler, N.; Fiedler, L.; Sax, E.; Venkatesh, N.
2023. 2023 IEEE International Automated Vehicle Validation Conference (IAVVC), Austin Tx, 16th-18 October 2023, 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IAVVC57316.2023.10328037
Multi-layer Approach for Energy Consumption Optimization in Electric Buses
Rösch, T.; Raghuraman, S.; Sommer, M.; Junk, C.; Baumann, D.; Sax, E.
2023. 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring), 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/VTC2023-Spring57618.2023.10199518
2022
Book Chapters
Differential Correlation Approach for Multivariate Time Series Feature Selection
Pistorius, F.; Baumann, D.; Sax, E.
2022. Proceedings of the Future Technologies Conference (FTC) 2021, Volume 1. Hrsg.: Kohei Arai, 928–942, Springer International Publishing. doi:10.1007/978-3-030-89906-6_59
Conference Papers
Use of Deep Learning Methods for People Counting in Public Transport
Baumann, D.; Sommer, M.; Schrempp, Y.; Sax, E.
2022. 2022 International Conference on Connected Vehicle and Expo (ICCVE), Lakeland, FL, March 7-9, 2022, 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICCVE52871.2022.9742924
2021
Conference Papers
Automatic Generation of Critical Test Cases for the Development of Highly Automated Driving Functions
Baumann, D.; Pfeffer, R.; Sax, E.
2021. 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), 5 S., Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/VTC2021-Spring51267.2021.9448686
2020
Book Chapters
Adaptive Customized Forward Collision Warning System Through Driver Monitoring
Stang, M.; Sommer, M.; Baumann, D.; Zijia, Y.; Sax, E.
2020. Proceedings of the Future Technologies Conference (FTC) 2020, Volume 2. Ed.: K. Arai, 757–772, Springer International Publishing. doi:10.1007/978-3-030-63089-8_50
Conference Papers
Intuitive Time-Series-Analysis-Toolbox for Inexperienced Data Scientists
Pistorius, F.; Baumann, D.; Seidel, L.; Sax, E.
2020. 2020 International Conference on Computational Science and Computational Intelligence (CSCI) : 2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020, Las Vegas, 16 December 2020 - 18 December 2020, 401–406. doi:10.1109/CSCI51800.2020.00075